Optoelectronic binocular instrument for the correction of presbyopia and method for the binocular correction of presbyopia
10898073 · 2021-01-26
Assignee
Inventors
Cpc classification
A61B3/103
HUMAN NECESSITIES
A61B3/11
HUMAN NECESSITIES
International classification
A61B3/00
HUMAN NECESSITIES
Abstract
Optoelectronic binocular instrument for the automatic correction of presbyopia and method for the binocular correction of the presbyopia. The instrument has two optoelectronic lenses (103, 110; 203, 204) and a capturing subsystem for taking images of the eye. By means of the pupil tracking, which performs the processing of the eye's images, the system determines the distance where the subject is looking at. The pupil tracking works at a very high speed, using a high-performance graphic processor and a highly parallelized algorithm for pupil tracking. The method consists of two phases. In the first one a calibration is accomplished, the subject is asked to look at targets at different distances and the size and position of the pupil is measured. In the second phase the correction is performed by the instrument, the system continuously captures and processes images to calculate the correction to apply and, finally, corrects the presbyopia by applying said correction.
Claims
1. Optoelectronic binocular instrument for the presbyopia correction, characterized in that it comprises: A high-speed pupil tracking system, which comprises: An image capturing binocular subsystem of the eyes of the subject being corrected for presbyopia, comprising at least a camera (107; 202, 205) and several light sources (102, 109; 207, 208) directed towards the eyes, and An image processing binocular subsystem to calculate the pupil size in each eye and the interpupillary distance, able to process the images of both eyes using a high-performance implementation based on the use of a graphic processor (GPU) and a highly parallel algorithm for pupil tracking, and Two optoelectronic lenses (103, 110; 203, 204) which provide a variable optical power, and which are able to be in front of the subject's eyes being corrected for presbyopia, one in front of each eye.
2. Optoelectronic binocular instrument for the presbyopia correction, according to claim 1, where the light sources (102, 109; 207, 208) are infrared illumination LEDs.
3. Optoelectronic binocular instrument for the presbyopia correction, according to claim 1, that additionally comprises several mirrors (104, 105, 111, 112), and at least one lens (106) to focus the image of the subject's eyes pupils being corrected for presbyopia in at least one camera (107; 202, 205).
4. Optoelectronic binocular instrument for the presbyopia correction, according to claim 3, where the mirrors are flat mirrors (104, 111), dichroic mirrors (105), and prism mirrors (112).
5. Method for the binocular correction of the presbyopia, which uses an optoelectronic binocular instrument for the binocular correction of the presbyopia from claim 1, and comprising a first phase of calibration and a second phase of presbyopia correction with the following stages: a) Calibration phase: The subject being corrected for presbyopia looks at a far target placed at a distance d.sub.far, Images are captured using the capturing images subsystem, The captured images are processed by the image processing subsystem and the pupil size S.sub.far and the interpupillary distance are calculated, The subject being corrected looks at a near target placed at a distance d.sub.near, Images are captured by the capturing images subsystem, The captured images are processed by the image processing subsystem and the pupil Size S.sub.far and the interpupillary distance are calculated, b) Presbyopia correction phase, Images are captured by the capturing images subsystem, The captured images are processed by the image processing subsystem and the pupil Size S.sub.far and the interpupillary distance are calculated, The distance D where the subject is looking is calculated using these formulas:
D=d.sub.near+[(d.sub.fard.sub.near)/(s.sub.fars.sub.near)]*(s.sub.currents.sub.near)
D=(H/2)*tan(90), where =a tan(d/r), wherein d is the distance that the pupils have moved, is the angle that the eyes have turned, r is the radius of the eye, and H is the interpupillary distance of the subject while looking at infinite, The optical power to be applied in the optoelectronic lenses (103, 110; 203, 204) is calculated from the distance D, and The calculated optical power is applied to the optoelectronic lenses (103, 110; 203, 204), wherein the stages of the presbyopia correction phase are performed continuously several times.
6. Method for the binocular correction of the presbyopia, according to claim 5, wherein the highly parallelized algorithm for pupil tracking performs the next sequence of actions: Preprocessing of the captured image to remove reflections produced by the illumination and removing noise that might be in the image; Next, a starting position is used to explore pixels around it, searching for big changes in the gradient, which might be indicative of the border of the pupil; Some points are randomly selected from those that have been found and several adjustments are made to an ellipse; and To choose the ellipse that best fits the pupil, the distance between the ellipses and the points previously found is calculated, and the one with the smallest distance is selected.
Description
DESCRIPTION OF THE DRAWINGS
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DETAILED DESCRIPTION OF THE INVENTION
(8) The present invention consists of a method which enables automatic and binocular correction of the eye's presbyopia in real time, and the instrument associated. Furthermore, the method has three different ways of controlling the applied correction.
(9) The most important parts for the practical implementation of the instrument, which enables the method presented in this invention, are shown in the schemes in
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(11) The pupil of the human eye decreases and increases its size when it focuses stimuli depending on the distance where they are at.
D=d.sub.near+[(d.sub.fard.sub.near)/(s.sub.fars.sub.near)]*(s.sub.currents.sub.near)
(12) Moreover, the human eye also converges and diverges while focusing targets depending on the distance where they are placed.
D=(H/2)*tan(90), where =a tan(d/r),
(13) In that formula d is the distance that the pupils have moved, is the angle that the eyes have turned, r is the radius of the eye and H is the interpupillary distance of the subject while looking at Infinite.
(14) First, the angle of the rotation of the eyes while looking at a near target is calculated. To do it the distance d with movement of the pupils is used and radius r of the eye. After calculating the angle that the eye has rotated, the distance D, where the subject is looking, can be calculated using the previous formula, although previously the interpupillary distance H of the subject must have been measured while looking at far.
(15) A third, more accurate, way of calculating the distance where the subject is looking at consists of combining both, the size of the pupils and the vergence of the pupils. Additionally, it is possible to obtain information about the temporal dynamics of the pupil which are related to the distance of the object to obtain information about the required optical power to be applied. This is a learning method.
(16) The described method in the present invention is shown in a scheme in
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(18) The implementation of the pupil tracking system uses a highly parallelized algorithm for graphic processors (GPUs) achieving a very high-speed, therefore, enabling the processing of a big number of samples per second. This processing speed reduces the latency of the system and increases its robustness and accuracy allowing the system to react very fast to changes in the subject's pupil, also reducing the total system latency and improving the user experience. The pupil tracking algorithm searches the border of the pupil of the eye. First, it performs a preprocessing of the captured image to remove the reflections generated by the infrared Illumination and reduce the noise that might be in the image. Then, starting from an initial position, the pixels around it are tested searching for a big change in the gradient, since the border of the pupil usually has a big change in the gradient. Finally, the found border points are randomly selected and several ellipse fittings are performed. To choose the best fitting ellipse the distance between all the ellipses and all the points is calculated and the one with the smallest distance is selected.
(19) The next numerical references are linked to different elements which are part of the invention and steps described, as represented in the present document. 101. Right subject's eye. 102. Infrared LED illumination. 103. Optoelectronic lens. 104. Flat mirror. 105. Dichroic mirror. 106. Lens. 107. Camera for pupil tracking. 108. Left subject's eye. 109. Infrared LED illumination. 110. Optoelectronic lens. 111. Flat mirror. 112. Prism mirror. 201. Right subject's eye. 202. Camera for pupil tracking. 203. Optoelectronic lens. 204. Optoelectronic lens. 205. Camera for pupil tracking. 206. Left subject's eye. 207. Infrared LED illumination. 208. Infrared LED illumination. 301. Subject's pupils looking a far target. 302. Subject's pupils looking a near target. 401. Subject's pupils looking a far target. 402. Subject's pupils looking a near target. 501. Calibration process. 502. Far looking state. 503. Taking picture state. 504. Measuring the pupil state. 505. Near looking state. 506. Taking picture state. 507. Measuring the pupil state. 508. Transition from calibration to processing. 509. Correction process. 510. Taking picture state. 511. Measuring the pupil state. 512. Calculating the correction state. 513. Applying correction to the lenses state. 601. Line showing the interpupillary distance. 602. Line showing the pupil's radius. 603. Line showing the diopters applied to the lens. 701. Scheme of the movement of a human eye while converging the gaze.